【摘要】 当前共享经济发展势头迅猛,线上短租房平台成为闲置房屋共享的载体。在三省六地的问卷调查基础上,使用Pearson相关系数进行分析,得出不同的消费者偏好对短租房定价影响的强弱,同时构建基于混合logit模型的预测模型,调查数据证明该模型能够有效预测消费者的偏好对短租房市场定价的影响。对消费者偏好选择的短租房市场定价因素进行研究,有助于优化线上短租房平台的网页可视信息质量,提高交易中信息对称性。更多还原

【Abstract】 With the rapid development of the sharing economy,the online-short-rental platform has become a vehicle of the sharing of idle houses.In this paper,based on a questionnaire in the six regions of three provinces,using Pearson correlation analysis,concluded that different consumer preferences for short rent price impact strength,at the same time to build the prediction model which based on mixed logit model,the survey data show that the model can effectively predict consumer preferences affect short rental market pricing.The research on the pricing factors of online-short-rental market for consumers’ preference will help optimize the visual information quality of online short rental platforms and improve the information symmetry in the transaction.更多还原